Mapping of quantitative trait loci for gibberellic acid response at rice (Oryza sativa L.) seedling stage

Mapping of quantitative trait loci for gibberellic acid response at rice (Oryza sativa L.) seedling stage
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DOI:
10.1016/j.plantsci.2005.07.021
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发表时间:
2006
期刊:
影响因子:
5.2
通讯作者:
Yanjun Dong;H. Kamiuten;Zhongnan Yang;D. Lin;T. Ogawa;L. Luo;H. Matsuo
Yanjun Dong;H. Kamiuten;Zhongnan Yang;D. Lin;T. Ogawa;L. Luo;H. Matsuo
中科院分区:
生物学2区
文献类型:
--
作者:
Yanjun Dong;H. Kamiuten;Zhongnan Yang;D. Lin;T. Ogawa;L. Luo;H. Matsuo

文献摘要

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分子遗传图谱的建立加速了水稻数量性状基因座(QTL)基因组区域的识别和定位。赤霉素的反应程度影响植物生长发育的各种生理过程。本研究利用289个RFLP标记,在水稻重组自交系群体中定位了水稻苗期赤霉酸(GA3)反应的QTL。该重组自交系群体来源于水稻品种Asominori(低GA3反应)和IR24(高GA3反应)。观察到GA3反应指数的连续表型变异和亲本两个方向的超亲分离,表明苗期株高的GA3反应是RI群体的数量遗传性状。共定位了5个控制GA3反应的QTL,分别定位在第1、3、4、6和12染色体上。其中,位于第1染色体G2200-C86之间的最大效应QTL(qGAR-1)解释了28.2-34.1%的表型变异。第二大效应QTL(qGAR-12)位于12号染色体C751附近,占总变异的13.2-16.5%。位于第3、4和6染色体上的其余3个QTL分别解释了总表型变异的5.1-6.4%。此外,在两个亲本中都检测到了GA3反应效应增强和减弱的等位基因。与GA3反应QTL紧密连锁的分子标记有助于分离基因座,有助于我们更好地了解水稻的GA3反应机制。
The development of molecular genetic maps has accelerated the identification and mapping of genomic regions controlling quantitative trait loci (QTLs) in rice. The degree of gibberellin response affects various physiological processes in plant growth and development. This study was conducted to map QTLs for gibberellic acid (GA3) response in the rice seedling stage in a recombinant inbred (RI) population derived from a cross of a japonica variety, Asominori (lower GA3response), with an indica variety, IR24 (higher GA3response), using 289 RFLP markers. Continuous phenotypic variation of GA3response index and transgressive segregation in both parental directions were observed, suggesting that GA3response in regard to seedling plant height was a quantitatively inherited trait in the RI population. Five QTLs controlling GA3response were identified and mapped to chromosomes 1, 3, 4, 6 and 12, respectively. Among them, the largest effect QTL (qGAR-1), located between G2200 and C86 on chromosome 1, explained 28.2–34.1% of the total phenotypic variation. The second largest effect QTL (qGAR-12) was detected near C751 on chromosome 12 and accounted for 13.2–16.5% of total variation. The remaining three QTLs on chromosome 3, 4 and 6, explained 5.1–6.4% of total phenotypic variation, respectively. In addition, alleles with increasing and decreasing GA3response effects were detected from both parents. The molecular markers tightly linked to GA3response QTLs lead to the isolation of loci and will help us to better understand GA3response mechanisms in rice.